FilmAgent: Automating Virtual Film Production Through a Multi-Agent Collaborative Framework
Year: 2024
Type: conference-paper
Abstract: Virtual film production requires intricate decision-making processes, including scriptwriting, virtual cinematography, and precise actor positioning and actions.Remarkable progress in automated decision-making have utilized agent societies powered by large language models (LLMs).This paper introduces FilmAgent, a novel LLM-based multi-agent collaborative framework designed to automate and streamline the film production process.FilmAgent simulates key crew roles-directors, screenwriters, actors, and cinematographers-within a sandbox environment, integrating efficient human workflows.The process is divided into three stages: planning, scriptwriting, and cinematography.Each stage engages
Authors: Zhenran Xu, Jifang Wang, Longyue Wang, Zhouyi Li, Senbao Shi, Baotian Hu, Min Zhang
Language: English
Topic: Digital Media and Visual Art
Field: Computer Science
Domain: Physical Sciences
Open Access status: bronze
Award: G412859668
OpenAlex ID: W4404520099